Literature DB >> 7298467

Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts.

B Bigland-Ritchie, E F Donovan, C S Roussos.   

Abstract

The relationship between the electromyographic (EMG) power spectrum and muscle conduction velocity was investigated during both fatiguing and nonfatiguing contractions of the adductor pollicis muscle. Changes in the EMG power spectrum were measured by Fourier transform analysis and by comparing the power in the high (130-238 Hz) and low (20--40 Hz) frequency bands. Changes in conduction velocity were measured during voluntary activity from changes in the muscle mass action potential evoked by periodic maximal shocks to the nerve. This was varied independently either by maintaining a 60-s fatiguing maximal voluntary contraction involving 30--50% loss of force or by changing muscle temperature in the absence of fatigue. Both procedures resulted in similar changes in the power spectrum. However, the change in conduction velocity required to generate equal changes in the EMG was about 10 times greater in the absence of fatigue than those observed during a 60-s maximum contraction initiated at any initial muscle temperature. This suggests that during fatigue of maximal voluntary contractions, factors other than changes in the wave form of individual muscle fiber action potentials must contribute to the observed shift in the total surface EMG frequency components.

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Year:  1981        PMID: 7298467     DOI: 10.1152/jappl.1981.51.5.1300

Source DB:  PubMed          Journal:  J Appl Physiol Respir Environ Exerc Physiol        ISSN: 0161-7567


  72 in total

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Review 3.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

4.  Variation of force amplitude and its effects on local fatigue.

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Journal:  Eur J Appl Physiol       Date:  2012-03-10       Impact factor: 3.078

5.  Fatigue and motor redundancy: adaptive increase in finger force variance in multi-finger tasks.

Authors:  Tarkeshwar Singh; S K M Varadhan; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

Review 6.  Evidence for complex system integration and dynamic neural regulation of skeletal muscle recruitment during exercise in humans.

Authors:  A St Clair Gibson; T D Noakes
Journal:  Br J Sports Med       Date:  2004-12       Impact factor: 13.800

7.  Single motor unit and spectral surface EMG analysis during low-force, sustained contractions of the upper trapezius muscle.

Authors:  Dario Farina; Daniel Zennaro; Marco Pozzo; Roberto Merletti; Thomas Läubli
Journal:  Eur J Appl Physiol       Date:  2004-12-21       Impact factor: 3.078

8.  Classification of EMG signals using PCA and FFT.

Authors:  Nihal Fatma Güler; Sabri Koçer
Journal:  J Med Syst       Date:  2005-06       Impact factor: 4.460

9.  Exertion dependent alternations in force fluctuation and limb acceleration during sustained fatiguing contraction.

Authors:  Chien-Ting Huang; Ing-Shiou Hwang; Chien-Chun Huang; Ming-Shing Young
Journal:  Eur J Appl Physiol       Date:  2006-05-10       Impact factor: 3.078

10.  Bilateral motor unit synchronization is functionally organized.

Authors:  T W Boonstra; A Daffertshofer; E van As; S van der Vlugt; P J Beek
Journal:  Exp Brain Res       Date:  2006-11-16       Impact factor: 1.972

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